Signal Processing And Machine Learning Theory

<p><b>Machine Learning: A Bayesian and Optimization Perspective, 2<SUP>nd</SUP> edition</b>, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification....

The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. <i>Financial Signal Processing and Machine Learning</i> unifies a number of recent...

<p>The authors offer a comprehensive guide to machine learning applied to signal processing and recognition problems, and then discuss real applications in domains such as speech processing and biomedical signal processing, with a focus on handling...

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts...